Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main conce
Programming knowledge is often necessary for finding a solution to a biological problem. Based on the author’s extensive experience, Python for Bioinformatics helps scientists solve their biological p
With a substantial amount of new material, the Handbook of Linear Algebra, Second Edition provides comprehensive coverage of linear algebra concepts, applications, and computational software packages
This book on parameter estimation addresses problems arising for comprehensive models of complex systems in various areas of application under data constraints. Paramater estimation is a branch of sta
Is adaptive randomization always better than traditional fixed-schedule randomization? Which procedures should be used and under which circumstances? What special considerations are required for adapt
Like its widely praised, best-selling predecessor, Pattern Theory: The Stochastic Analysis of Real-World Signals, Second Edition treats the mathematical tools, the models themselves, and the computati
This textbook serves the needs of engineers and computer scientists responsible for designing, implementing, and verifying secure computer and information systems. Methods are based on the application
Reflecting the latest version of MathematicaR, this text provides an introduction to differential geometry by covering curves and surfaces in detail. Popular with students and professionals in mathema
Providing a step-by-step, practical guide to designing and developing useful and meaningful web and mobile applications, this book utilizes several approaches to the creation of web and mobile applica
There are many methods for multiple testing adjustment and questions arise concerning when they should be used and how they may provide different results. This book focuses on multiple testing methods
Drawing on the authors’ varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate m
In the traditional curriculum, students rarely study nonlinear differential equations and nonlinear systems due to the difficulty or impossibility of computing explicit solutions manually. Although th
Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematic
Aimed primarily at undergraduate level university students, An Illustrative Introduction to Modern Analysis provides an accessible and lucid contemporary account of the fundamental principles of Mathe
The feedback control of nonlinear differential and algebraic equation systems (DAEs) is a relatively new subject. Developing steadily over the last few years, it has generated growing interest inspire
Until recently, acquiring a background in the basic methodological principles that apply to most types of investigations meant struggling to obtain results through laborious calculations. The advent o
All the Tools for Gathering and Analyzing Data and Presenting ResultsReproducible Research with R and RStudio, Second Edition brings together the skills and tools needed for doing and presenting compu
